Economic Modelling Lecture 7 Convergence and Divergence in the Global Economy 1 GDP Perhead in Hull and the UK 1998 20,000 18,566 18,000 16,000 14,000 12,548 12,845 13,402 12,117 11,759 11,850 12,000 9,754 10,063 10,051 10,000 8,000 6,000 4,000 Northern Ireland5 London East Riding of Yorkshire East Riding and North Lincolnshire 0 United Kingdom 2,000 2 Meaning of Convergence and Divergence Prediction of convergence Solow Model: Catching up under Growing apart High income High income Y/P Income Y/P Divergence Low ncome Low income Time Time A poor country should grow at faster rate than a rich country as it has higher marginal productivity of capital. Evidence from African Countries shows divergence. 3 Two concepts of Economic Convergence Dispersion Measure: variance of growth rates should decline over time Convergence g g Time ln y ln y 2 t i N 1 t Convergence R R R ln Yt 0 1 t HI 1 LI 1 Time Reduction in the standard deviation over time i ,t Mean Difference Low income regions should grow faster than high income regions. 4 Marginal productivity of Capital in Rich and Poor Countries and Capital Accumulation in Autarky MPKP MPKR rp rR KR KP 5 Marginal productivity of Capital in Rich and Poor Countries and Capital Accumulation After Globalisation MPKP MPKR rP rp RG rR KR KP 6 Marginal productivity of Labour in Rich and Poor Countries Before and After Globalisation MPLP MPLR wR wR’ LR LR’ LP’ LP Poor Country Rich Country 7 Who Gain and Who Lose From Globalisation? Capitalists in rich countries and workers in poor countries gain. rp rR MPKR MPKP wR wR’ wp’ MPLR MPLR’ wp MPLP’ MPLP 8 Factor Mobility and Convergence Yi Ai K i Li 1 Convergence No convergence 1 and 0 1 0 1 1 and KMobile L-mobile K-Mobile L-mobile K-Mobile L-mobile yes no yes no no yes yes no yes no Yes no 9 Factors Promoting Convergence • Domestic factors – – – – – – Saving Investment Population growth rate Human capital Technology Development of infrastructure – Sound economic policy – Homogenous and stable society – Transparent rules and regulations • Global factors – Trade of goods and services – Inflow and outflow of capital – Emigration or immigration of skilled and unskilled labour – Adoption of better technology – Growth of the global economy – Peace/Oil prices 10 Autarky and Saving and Capital (Gartner (2003:262) has similar example) Country A Country B YA K A0.5 L0A.5 A 0.1 YB K B0.5 L0B.5 s A 0.2 sB 0 What is the capital stock in the steady state in A in Autarky? How much do workers get? How much do owners of capital get? sK A0.5 L0A.5 A K A 0.2 K A0.5 10 0.1K A K A 400 B 0.1 What is the capital stock in the steady state in B in Autarky? How much do workers get? How much do owners of capital get? 0.0 K B0.5 10 0.1K B K B 0 YB 0 Becomes a beggar country. YA 200 11 Impacts of Globalisation in Output and Income What is the capital stock in the steady state in A and B if there is a free mobility of capital? Country A Country B K A KB K K A KB K Country A saves for both countries. It receives rental income from country B. Country B does not save but can borrow capital from country A. 0.2 10 K 0.5 0.5 10 K 0.5 0.1K K K 15 225 YB K 0.5 L0B.5 225 0.5 10 150 2 YA K 0.5 L0A.5 225 0.5 10 150 GNP in country B = GDP+Investment Receipts GNPA = 150+75 = 225 Capitalists gain and workers lose in country A. Country B need to pay capital income to Country A. GNP in country B = GDPInvestment Payments GNPB = 150-75 = 75 Country B gains from the capital transfers. 12 Evidence of Convergence Among OECD economies They rate growing at about the same rate GDP per capita (constant 1995 US$) 1960 2000 Y00/Y60 growth rate (1960-2000) Austria 10596 32763 3.092016 2.822 Belgium 10335 30830 2.983067 2.732 Denmark 16287 38521 2.365138 2.152 Finland 9769 32024 3.278125 2.968 France 10611 29811 2.809443 2.582 Greece 3818 13105 3.432425 3.083 Hungary 1514 5425 3.584302 3.191 Ireland 5462 27741 5.079002 4.063 Italy 6606 20885 3.161663 2.878 Luxembourg 15772 56372 3.574182 3.184 Netherlands 11999 30966 2.580715 2.370 Norway 11322 37954 3.352235 3.024 Portugal 2735 12794 4.678735 3.858 Spain 4620 17798 3.852798 3.372 Sweden 13165 31206 2.370376 2.158 Switzerland 26245 46737 1.780796 1.443 13 United Kingdom 9496 21667 2.281698 2.062 Lack of Evidence of Convergence among Low Income Countries and Convergence among newly emerging economies: Average Annual Growth Rate of Per Capita Income (%) and Its level in 1960 1960 angrrate Central African Republic 457 -0.746708 Chad 290 -0.713465 Ghana 450 -0.2145 Haiti 547 -0.997717 Madagascar 383 -1.106759 Nicaragua 638 -0.785382 Niger 386 -1.606578 Senegal 670 -0.238649 Sierra Leone 223 -1.041848 Venezuela, RB 3720 -0.299503 Zambia 648 -1.256572 1960 agrrate China 112 4.989179 Hong Kong, China 3008 5.214552 Ireland 5462 4.062741 Korea, Rep. 1325 5.720737 Japan 8399 4.186912 Malta 1177 5.404178 Portugal 2734 3.858026 Singapore 2676 5.890155 Thailand 465 4.492804 Conditional Convergence 14 Results from Cross Country Growth Studies -1 • A low initial level of income is associated with higher growth rate in subsequent periods when other variables are held constant. • Growth rates are higher when the ratio of investment to GDP is higher. • Growth rates are higher in countries which have larger stock of human capital per capita. • These are reflected in terms of enrolment in the primary and secondary schools. • Population growth rates are negatively associated with growth rates. 15 Results from Cross Country Growth Studies -2 • Countries with distorted markets have lower growth rates. • Distortions occur in exchange rates and prices or by impediments to a free and fair trade. • Countries with efficient financial system have higher growth rates. • Size of the financial markets is measured as a ratio of liquid assets to the GDP. • Countries with political instability have lower growth rates. • Frequency of revolutions, wars and coups are used to measure political instability. 16 Is this caused by the barriers to adopt a good technology? Or by Lauddites? 17 References • • • • • • • • • • • • • Blanchard (13) http://www.bris.ac.uk/Depts/Economics/Growth/ B&W 3 MS 5-6, BL 11,12 MK 7 Baumol, W. J. (1986). Productivity growth, convergence and welfare: what the long-run data show. American Economic Review, 1072-1085. Bernard, Andrew B. and Jones, Charles I. (1996). Technology and convergence. Economic Journal, 106, July, 1037-1044. Barro, R. J. and Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223-251. Ben-David, Dan and Loewy, Michael B. (1998). Free trade, growth, and convergence. Journal of Economic Growth, 3(2), June, 143-170. Keefer, Philip and Knack, Stephen (1997). Why don't poor countries catch up? A cross-national test of an institutional explanation. Economic Inquiry, 35(3), July, 590-602. Lee, K., Pesaran, M. H. and Smith, R. (1997). Growth and convergence in a multi-country empirical stochastic Solow model. Journal of Applied Econometrics, 12, 357-392. Parente Stephen L. (1994) Technology Adoption, Learning-by-Doing, and Economic Growth, Journal of Economic Theory, 63, pp. 346-369. Quah, D. T. (1993). Empirical cross-section dynamics in economic growth, European Economic Review, 37, 426-434. Slaughter, M. J. (1997). Per capita income convergence and the role of international trade. American Economic Review, 87(2), 194-204. Whalley, J. (1985) Trade Liberalization Among Major World Trading Areas, MIT 18 Press, Cambridge.